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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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the development and operation of superconducting qubits. You will be working closely with PhD students and other postdoctoral researchers and will be able to benefit from the expertise developed there and
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29 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science & engineering, physics, chemistry, or a
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 2 months ago
external sources or participation in their implementation; mentoring/supervising students or PhD candidates will be an asset. 4. Experience in laboratory work, including knowledge of basic molecular biology
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>99 researchers at six departments to develop education, research & infrastructure in battery technology. There is strong research on materials, cell concepts, processing, battery control, monitoring
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/Qualifications The successful candidate shall hold a PhD in metal additive manufacturing principles, ideally wire-fed processes such as WAAM, EBAM, and WLAM. Core competencies: - Ability to implement and conduct
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. About You You should hold, or be close to completing, a PhD in robotics, computer vision, artificial intelligence, computer science, engineering, or another closely related discipline. You will have
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI